13 publicaciones de empleo destacadas en data & machine learning engineer (¡Están contratando!)

Data Scientist
Latino Legends —Buenos Aires, Buenos Aires
Postulación rápida
7h
Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
9h
AI Lead / Tech Lead – Python / Azure OpenAI / Semantic Kernel (Híbrido)
Talent Connect —Capital Federal, Buenos Aires
Technical Lead - Java
dLocal —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
12d
Senior GenAI Developer
BI AH Argentina S.A. —Buenos Aires, Buenos Aires
- Tiempo completo
Full Stack AI Engineer
Hire Overseas —Buenos Aires, Buenos Aires
Postulación rápida
14d
Data Scientist, Applied AI - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Business Data Scientist - CFO
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
Cloud DevOps Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Senior Software Engineer Feb 26
Eclypsium —Córdoba, Córdoba
Postulación rápida
Sr DS Engineer - Antiscraping Security
Mercado Libre —Capital Federal, Buenos Aires
AI Engineer
Modus Digital —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida

More jobs to discover

Find similar jobs that you might be interested in.

Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
Executes software solutions including design, development, and technical troubleshooting across the full stack where needed.
9h
Product Security Engineer II
Medallia —Buenos Aires, Buenos Aires
2–5 years of experience in application security, product security, penetration testing, security engineering, software engineering with a security focus, or…

Quiero recibir la alerta de empleo más reciente para data & machine learning engineer

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

data & machine learning engineer jobs near

Empleos de Full Stack Developer en Buenos Aires, Buenos Aires

Empleos de Data Scientist en Buenos Aires, Buenos Aires

Empleos de Full Time en Paraná, Entre Ríos

Empleos de Full Stack Developer en Desde Casa

Empleos de Full Time en Clorinda, Formosa

Empleos de Full Stack Developer en Pablo Podesta, Buenos Aires

Empleos de Full Stack Developer en Luján De Cuyo, Mendoza

Empleos de Data Engineer Jr en Paternal, Buenos Aires

Empleos de Data Engineer Jr en Parque Chas, Buenos Aires

Empleos de Devops en Desde Casa

Empleos de Network Engineer en Buenos Aires, Buenos Aires

Empleos de Junior Software Engineer en Desde Casa

Empleos de Jefe De Producción en Capital Federal, Buenos Aires

Empleos de Informática Para Administración Y Gestion en Capital Federal, Buenos Aires

Empleos de Informática en Rosario, Santa Fe

Empleos de Seguridad Sin Experiencia en Capital Federal, Buenos Aires

Empleos de Seguridad en Rosario, Santa Fe

Empleos de Ingeniero Electromecánico en Mendoza, Mendoza

Empleos de Fullstack Developer en Remote

Empleos de Trainee, Developer en Canning, Buenos Aires

Data Scientist

Latino Legends
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 7 horas

Descripción completa del empleo

Data Scientist
(Machine Learning & Databricks)

Salary | $2,000 USD/month (Bi-weekly payments)

Location | Remote from Latin America

Schedule | Full-time

Employment Type | Contractor

Perks & Time Off | U.S. holidays off, generous PTO, internal training, and mentorship

About the Client

Latino Legends is partnering with a high-growth U.S. marketing intelligence company to find top-tier nearshore talent. Our client does not just report on data—they build with it, driving marketing decisions for over 1,000 dealer clients across digital and direct channels. They operate on a cloud-native Databricks Lakehouse platform and foster an AI-forward culture where modern tooling accelerates analysis and deployment.

The Role

As a Data Scientist, you will work primarily inside Databricks building datasets, features, and machine learning models that power marketing intelligence. You will spend your time on data preparation, exploratory analysis, feature engineering, and model training/evaluation, supported by senior engineers and architects on the production side.

Key Responsibilities

Data & Modeling (80%)

Build and maintain data pipelines and transformations in Databricks using Python, PySpark, and SQL.
Perform exploratory data analysis to understand marketing, campaign, and customer datasets.
Engineer features, prepare training datasets, and train, evaluate, and tune machine learning models.
Support model deployment and monitoring in production alongside senior engineers.
Investigate and resolve data quality issues in source feeds and pipelines.
Leverage AI coding tools efficiently while maintaining code quality and deep understanding.

Collaboration & Quality (20%)

Participate in sprint planning, standups, and retrospectives within an Agile/SCRUM framework.
Write tests, data validation checks, and participate in code reviews.
Document datasets, features, model assumptions, and results.
Present findings and recommendations to both technical and business stakeholders.

Core Qualifications

Required:

Experience: 1-3 years of hands-on experience in data science, machine learning, or analytics engineering (including internships, co-ops, research, or complex projects).
Education: Degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or comparable practical experience.
Languages & Core Tooling: Solid proficiency with Python (pandas, NumPy, scikit-learn) and SQL (joins, aggregations, window functions).
Data Science Fundamentals: Solid understanding of supervised learning, train/test splits, feature engineering, cross-validation, and evaluation metrics (ROC AUC, RMSE, precision, recall).
Statistics & Data Handling: Working knowledge of descriptive statistics, hypothesis testing, data profiling, and data cleaning.
Modern Workflow: Proficiency with Git, collaborative development, and AI-assisted development tools (Cursor, GitHub Copilot, Claude, etc.).
Communication: Strong written and spoken English skills to effectively explain complex findings to non-technical audiences.

Nice to Have:

Hands-on experience with Databricks (Unity Catalog, clusters, jobs, notebooks) or PySpark.
Exposure to MLflow, Delta Lake (medallion architecture), or Azure cloud services.
Experience with time-series forecasting, uplift modeling, or audience segmentation.
Familiarity with visualization tools (Power BI, Tableau, Plotly) or CI/CD pipelines (GitHub Actions, Azure DevOps).
Interest in Large Language Models (LLMs) and generative AI applications.

Why Apply Through Latino Legends?

Modern Stack: Hands-on experience in Databricks on a modern lakehouse platform with zero legacy code clutter.
Mentorship & Career Growth: Work side-by-side with senior architects who review your code and help you transition from notebook experiments to production-level machine learning.
High Impact: Your models directly inform millions of dollars in active marketing spend.
Distributed Culture: Enjoy a collaborative, cross-border culture across the U.S. and Latin America.

Postulación rápida

Refiná tu búsqueda

data & machine learning engineer empleos

Data Scientist

Software Engineer II - Python

AI Lead / Tech Lead – Python / Azure OpenAI / Semantic Kernel (Híbrido)

Technical Lead - Java

Senior GenAI Developer

Full Stack AI Engineer

Data Scientist, Applied AI - Remote

Business Data Scientist - CFO

Cloud DevOps Engineer - Latin America - Remote

Senior, Java Software Engineer

Senior Software Engineer Feb 26

Sr DS Engineer - Antiscraping Security

AI Engineer

More jobs to discover

Quiero recibir la alerta de empleo más reciente para data & machine learning engineer

Related Searches

Explorar empleos en más ubicaciones

Data Scientist
(Machine Learning & Databricks)

About the Client

The Role

Key Responsibilities

Data & Modeling (80%)

Collaboration & Quality (20%)

Core Qualifications

Required:

Nice to Have:

Why Apply Through Latino Legends?

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado

Refiná tu búsqueda

data & machine learning engineer empleos

More jobs to discover

Quiero recibir la alerta de empleo más reciente para data & machine learning engineer

Related Searches

Explorar empleos en más ubicaciones

Data Scientist (Machine Learning & Databricks)

About the Client

The Role

Key Responsibilities

Data & Modeling (80%)

Collaboration & Quality (20%)

Core Qualifications

Required:

Nice to Have:

Why Apply Through Latino Legends?

Data Scientist
(Machine Learning & Databricks)